This is a trading item or a component that was created using QuantShare by one of our members.
This item can be downloaded and used by QuantShare Trading Software.
Trading items are of different types. There are data downloaders, trading indicators, trading systems, watchlists, composites/indices...
You can use this item and hundreds of others for free by downloading QuantShare.
Top Reasons Why You Should Use QuantShare:
Works with US and international markets (stock, forex, options, futures, ETF...)
Offers you the tools that will help you become a profitable trader
Allows you to implement any trading ideas
Exchange items and ideas with other QuantShare users
Our support team is very responsive and will answer any of your questions
We will implement any features you suggest
Very low price and much more features than the majority of other trading software
Broker Ratings & Recommendations object downloads several metrics about broker recommendations for US stocks.
Database Name: "Broker_Rating"
Fields:
Avg_Broker_Rec: Current average broker recommendations for the specified stock.
#Brokers_Rating: Number of brokers that provided a recommendation on the stock.
#Ratings_Strong_Buy/Buy: The number of brokers that rated the stock as a strong or moderate buy.
%Rating_Strong_Buy/Buy: The percentage of brokers that recommended the stock as a strong or moderate buy.
#Rating_Hold: The number of brokers that rated the stock as hold.
%Rating_Hold: The percentage of brokers that rated the stock as hold.
#Rating_Strong_Sell/Sell: The number of brokers that rated the stock as a strong or moderate sell.
%Rating_Strong_Sell/Sell: The percentage of brokers that recommended the stock as a strong or moderate sell.
%Rating_Chg: The percent change during the last four weeks in the average broker recommendation.
Ind_Rank: The industry rank of the selected stock. Industries are ranked based on the average broker recommendation of each company belonging to this industry. A low number means that brokers and analysts expect that the industry outperform the market.
Rank_in_Ind: The rank of the selected stock within its industry based on the stock average recommendation compared to the average brokerage recommendations of each stock in the industry.
Chg_Avg_Rec: This is the difference between the current average broker recommendation minus the last week average recommendations.
#Rating_Upgrades: The number of brokers that upgraded the stock during the last week.
#Rating_Downgrades: The number of brokers that downgraded the stock during the last week.
%Rating_Upgrades: The percentage of brokers that upgraded the stock during the last week.
%Rating_Downgrades: The percentage of brokers that downgraded the stock during the last week.
Here are the recommendation values:
1 = Strong Buy
2 = Buy
3 = Hold
4 = Sell
5 = Strong Sell
You can calculate the "Rank in Industry" and "Industry Rank" using the composite function.
Here is how to compute the "Rank in Industry":
Comp(GetData("broker_rating", "avg_broker_rec", LastData), "rank", industry())
"GetData" retrieves the average broker recommendation from the database, while "Comp" calculates stocks' rank based on this data and by grouping stocks using the value returned by the "industry()" function.
You have to log in to bookmark this object What is this?
>>>> More trading objects? click here to search for trading sytems, downloaders, screens, custom drawing tools, indicators... by country, market or style.
